摘要
细粒沉积物特征及其古地理研究对含油气细粒沉积物的勘探开发、评价预测、工程技术设计等意义重大。近年来,细粒沉积物,尤其是含油气细粒沉积物研究的快速发展,带来了一系列新的研究领域。在讨论细粒沉积物的定义、分类与特征的基础上,通过分析细粒沉积的文献知识群,获取细粒沉积物、页岩研究等结构、热点与发展方向。国际上细粒沉积物研究主要关注微结构和成因机制,近年来主要在具有油气意义的特殊细粒沉积物——页岩研究方面取得关键进展,对页岩的研究过程可以分为以页岩表征为代表的主知识网络和以页岩气赋存、运移等构成的延伸知识网络。细粒沉积物古地理恢复方法丰富,适用性存在差异,但量化、多因素综合、数据集成与深度挖掘、人工智能化将是细粒沉积古地理恢复方法的方向。在含油气细粒沉积物的优选评价方面,需要对沉积物本身特征与控制影响因素展开精细研究,进而延伸出"更宏观"与"更微观"2个主要发展方向。
The characteristics and palaeogeography of the fine-grained sediments are significant for the exploration and development,assessment and prediction,and the engineering technical design of the oil-gas-bearing fine-grained sediments.The rapid development of fine-grained sediments,especially the oil-gas-bearing fine-grained sediments in recent years has brought a series of new research hotspots.In this paper,the definition,classification and characteristics of fine-grained sediments are discussed.The structure of fine-grained sediments and shale,research hotspots and development direction are clarified based on the detailed literature review.The international research in the fine-grained sediments is mainly focused on the micro-structure and the formation mechanism of the fine-grained sediments,especially the shale that has a special significance of oil and gas.Except the shale characterization,the occurrence and migration of shale gas are also widely studied.There are many methods of palaeogeographic restoration of finegrained sediments,but the applicability is different.The quantification,synthesis of multiple factors,data integration and data deep mining,artificial intelligence will be the research direction of palaeogeographic restoration of fine-grained sediments.The optimum evaluation on the oil-gas bearing fine-grained sediments requires the delicate study of the sediment characteristics and the controlling factors,which leads to the two main development directions of"more macroscopic"and"more microscopic".
作者
郭英海
赵迪斐
陈世悦
Guo Ying-Hai;Zhao Di-Fei;Chen Shi-Yue(School of Resources and Geosciences,China University of Mining and Technology,Jiangsu Xuzhou 221116,China;Key Laboratory of Coalbed Methane Resources and Reservoir Formation Process,Ministry of Education,China University of Mining and Technology,Jiangsu Xuzhou 221008,China;Artificial Intelligence Research Institute,China University of Mining and Technology,Jiangsu Xuzhou 221008,China;School of Geosciences,China University of Petroleum(East China),Shandong Qingdao 266555,China)
出处
《古地理学报》
CAS
CSCD
北大核心
2021年第2期263-283,共21页
Journal of Palaeogeography：Chinese Edition
基金
国家自然科学基金项目(编号:41772130)
国家重点基础研究发展计划项目(编号:2012CB214702)联合资助。
关键词
细粒沉积物
页岩
致密储集层
古地理
大数据
fine-grained sediments
shale
tight reservoir
palaeogeography
big data
